diff --git a/CHANGES.rst b/CHANGES.rst
index 9e1ffb508..220845c89 100644
--- a/CHANGES.rst
+++ b/CHANGES.rst
@@ -20,6 +20,7 @@ Bug fixes
 * Fix the registry entries of "generic" indicators. (:issue:`1423`, :pull:`1424`).
 * Fix `jetstream_metric_woollings` so it uses the `vertical` coordinate identified by `cf-xarray`, instead of `pressure`. (:issue:`1421`, :pull:`1422`). Add logic to handle coordinates in decreasing order, or for longitudes defined from 0-360 instead of -180 to 180. (:issue:`1429`, :pull:`1430`).
 * Fix virtual indicator attribute assignment causing individual indicator's realm to be ignored. (:issue:`1425`, :pull:`1426`).
+* Fixes the `raise_flags` argument of ``xclim.core.dataflags.data_flags`` so that an Exception is only raised when some checkups fail (:issue:`1456`, :pull:`1457`).
 
 Internal changes
 ^^^^^^^^^^^^^^^^
diff --git a/tests/test_flags.py b/tests/test_flags.py
index 6240f2ef1..9bd8b925e 100644
--- a/tests/test_flags.py
+++ b/tests/test_flags.py
@@ -125,6 +125,9 @@ def test_raises(self, tasmax_series, tasmin_series):
             arr = series(vals, start="1971-01-01")
             bad_ds = xr.merge([bad_ds, arr])
 
+        # At this stage, it should not raise an exception
+        df.data_flags(bad_ds.tasmax, bad_ds, raise_flags=True)
+
         # Swap entire variable arrays
         bad_ds["tasmin"].values, bad_ds["tasmax"].values = (
             bad_ds.tasmax.values,
diff --git a/xclim/core/dataflags.py b/xclim/core/dataflags.py
index 494e124dc..9b1773c43 100644
--- a/xclim/core/dataflags.py
+++ b/xclim/core/dataflags.py
@@ -559,7 +559,7 @@ def data_flags(
         The value can be None if there are no parameters to pass (i.e. default will be used).
         The default, None, means that the data flags list will be taken from :py:obj:`xclim.core.utils.VARIABLES`.
     dims : {"all", None} or str or a sequence of strings
-        Dimenions upon which aggregation should be performed. Default: "all".
+        Dimensions upon which the aggregation should be performed. Default: "all".
     freq : str, optional
         Resampling frequency to have data_flags aggregated over periods.
         Defaults to None, which means the "time" axis is treated as any other dimension (see `dims`).
@@ -692,7 +692,7 @@ def _missing_vars(function, dataset: xarray.Dataset, var_provided: str):
     dsflags = xarray.Dataset(data_vars=flags)
 
     if raise_flags:
-        if np.any(dsflags.data_vars.values()):
+        if np.any([dsflags[dv] for dv in dsflags.data_vars]):
             raise DataQualityException(dsflags)
 
     return dsflags